Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
3eee1d0
·
verified ·
1 Parent(s): aad3fbf

Upload cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json +34 -34
cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json CHANGED
@@ -2,74 +2,74 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 4267.134976,
6
- "max_global_vram": 6219.628544,
7
  "max_process_vram": 0.0,
8
- "max_reserved": 5626.658816,
9
- "max_allocated": 5500.3136
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 44.34824609375,
15
- "mean": 44.34824609375,
16
  "stdev": 0.0,
17
- "p50": 44.34824609375,
18
- "p90": 44.34824609375,
19
- "p95": 44.34824609375,
20
- "p99": 44.34824609375,
21
  "values": [
22
- 44.34824609375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 0.0004316566175847222,
29
- "ram": 0.00023656584355493776,
30
- "gpu": 0.0006465902394939991,
31
- "total": 0.001314812700633659
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1443.811328,
39
- "max_global_vram": 8585.216,
40
  "max_process_vram": 0.0,
41
- "max_reserved": 7933.526016,
42
- "max_allocated": 6585.972224
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
- "total": 1.1960352172851563,
48
- "mean": 0.5980176086425781,
49
- "stdev": 0.0006250915527343803,
50
- "p50": 0.5980176086425781,
51
- "p90": 0.5985176818847656,
52
- "p95": 0.5985801910400391,
53
- "p99": 0.5986301983642578,
54
  "values": [
55
- 0.5973925170898438,
56
- 0.5986427001953125
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
- "value": 1.6721915635057458
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
- "cpu": 7.103870702777668e-06,
66
- "ram": 3.879155019704438e-06,
67
- "gpu": 4.0971282777000056e-05,
68
- "total": 5.195430849948216e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
- "value": 19247.681835857118
73
  }
74
  }
75
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 4327.309312,
6
+ "max_global_vram": 6196.559872,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 5603.590144,
9
+ "max_allocated": 5508.17792
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 46.7035390625,
15
+ "mean": 46.7035390625,
16
  "stdev": 0.0,
17
+ "p50": 46.7035390625,
18
+ "p90": 46.7035390625,
19
+ "p95": 46.7035390625,
20
+ "p99": 46.7035390625,
21
  "values": [
22
+ 46.7035390625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 0.00045933236655138935,
29
+ "ram": 0.00025173555594602815,
30
+ "gpu": 0.0006462980170379995,
31
+ "total": 0.001357365939535417
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1520.488448,
39
+ "max_global_vram": 8551.661568,
40
  "max_process_vram": 0.0,
41
+ "max_reserved": 7899.971584,
42
+ "max_allocated": 6593.836544
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
+ "total": 1.2000888671875,
48
+ "mean": 0.60004443359375,
49
+ "stdev": 0.0012188110351562531,
50
+ "p50": 0.60004443359375,
51
+ "p90": 0.601019482421875,
52
+ "p95": 0.6011413635253906,
53
+ "p99": 0.6012388684082031,
54
  "values": [
55
+ 0.6012632446289062,
56
+ 0.5988256225585937
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
+ "value": 1.6665432491571668
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
+ "cpu": 7.0967212878471354e-06,
66
+ "ram": 3.879582796470041e-06,
67
+ "gpu": 3.9410587084000043e-05,
68
+ "total": 5.0386891168317216e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
+ "value": 19846.4318161544
73
  }
74
  }
75
  }